Search Results for author: Nargiz Humbatova

Found 2 papers, 2 papers with code

DeepMetis: Augmenting a Deep Learning Test Set to Increase its Mutation Score

1 code implementation15 Sep 2021 Vincenzo Riccio, Nargiz Humbatova, Gunel Jahangirova, Paolo Tonella

The adequacy of the test data used to test such systems can be assessed by their ability to expose artificially injected faults (mutations) that simulate real DL faults.

Taxonomy of Real Faults in Deep Learning Systems

2 code implementations24 Oct 2019 Nargiz Humbatova, Gunel Jahangirova, Gabriele Bavota, Vincenzo Riccio, Andrea Stocco, Paolo Tonella

The growing application of deep neural networks in safety-critical domains makes the analysis of faults that occur in such systems of enormous importance.

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